Leveraging recent advances in generative AI, multi-agent systems are increasingly being
developed to enhance the functionality and efficiency of smart city applications. This paper …

The use of artificial neural network (ANN), as one of the artificial intelligence methodologies,
in a variety of real-world applications has been around for some time. However, the …

The origins of artificial intelligence can be traced back to early centuries, even to the times of
ancient philosophers, especially if we consider the philosophical aspects of this field of …

Large language models (LLMs) have revolutionized the field of artificial intelligence,
endowing it with sophisticated language understanding and generation capabilities …

The advent of the computer age has set in motion a profound shift in our perception of
science-its structure, its aims and its evolution. Traditionally, the principal domains of …

As in many other fields, biomedical engineers benefit from the use of computational
intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even …

The Multi-Layer Feed-Forward Neural Network (MLFFNN) is applied in the context of river
flow forecast combination, where a number of rainfall-runoff models are used simultaneously …

The development of theoretical-based methods for the assessment of multi-agent systems
properties is of critical importance. This work is a preliminary investigation on methodologies …

Flood problems are complex phenomena with a direct relationship with the hydrological
cycle; these are natural processes occurring in water systems, that interact at different spatial …

Solving complex problems in real-world contexts, such as financial investment planning or
mining large data collections, involves many different sub-tasks, each of which requires …